import random

import numpy as np
import tensorflow as tf

SEED = 7

tf.keras.utils.set_random_seed(SEED)
generator = np.random.default_rng(SEED)

print("Python random:", random.randint(0, 999))
print("NumPy global:", int(np.random.randint(0, 1000)))
print("NumPy Generator:", int(generator.integers(0, 1000)))
print(
    "TensorFlow:",
    tf.random.uniform((3,), minval=0, maxval=10, dtype=tf.int32).numpy().tolist(),
)